Genetic Variation for Potato Tuber Micronutrient Content and Implications for Biofortification of Potatoes to Reduce Micronutrient Malnutrition View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2012-06

AUTHORS

K. G. Haynes, G. C. Yencho, M. E. Clough, M. R. Henninger, S. B. Sterrett

ABSTRACT

Micronutrients are crucial to healthy growth and development, yet a large proportion of the world’s population suffers from micronutrient deficiencies. Biofortification of staple foods has tremendous potential to alleviate these deficiencies. Potato production in developing countries is increasing rapidly, and therefore, biofortification of potatoes for essential micronutrients may be feasible. The purpose of this study was to determine the amount of genetic variation for micronutrient content in potato germplasm. Eighteen potato clones, consisting of ‘Atlantic’ and 17 4x-2x hybrids between S. tuberosum and diploid hybrids of S. phureja-S. stenotomum, were grown in three locations (NC, VA, NJ) 2 years (2001, 2002). Samples of tuber tissue were analyzed for copper (Cu), iron (Fe), manganese (Mn) and zinc (Zn). There were significant differences among clones for Cu, Fe, Mn and Zn. Clone x environment interactions were significant for Cu and Zn. Broad-sense heritability and its 95 % confidence interval for Cu was 0.65 (0.50–0.89); Fe was 0.49 (0.27–0.84); Mn was 0.84 (0.82–0.96); and Zn was 0.82 (0.73–0.94). Genetic variation for these four micronutrients is large, suggesting that the micronutrient content of potatoes can be improved through breeding. More... »

PAGES

192-198

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12230-012-9242-7

DOI

http://dx.doi.org/10.1007/s12230-012-9242-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1044132133


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0604", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Genetics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Agricultural Research Service", 
          "id": "https://www.grid.ac/institutes/grid.463419.d", 
          "name": [
            "U.S.D.A. Agricultural Research Service, 20705, Beltsville, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Haynes", 
        "givenName": "K. G.", 
        "id": "sg:person.012655447505.61", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012655447505.61"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "North Carolina State University", 
          "id": "https://www.grid.ac/institutes/grid.40803.3f", 
          "name": [
            "North Carolina State University, 27695, Raleigh, NC, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yencho", 
        "givenName": "G. C.", 
        "id": "sg:person.01012302426.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01012302426.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "North Carolina State University", 
          "id": "https://www.grid.ac/institutes/grid.40803.3f", 
          "name": [
            "North Carolina State University, 27695, Raleigh, NC, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Clough", 
        "givenName": "M. E.", 
        "id": "sg:person.01054447112.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01054447112.47"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Rutgers University", 
          "id": "https://www.grid.ac/institutes/grid.430387.b", 
          "name": [
            "Rutgers University, 08903, New Brunswick, NJ, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Henninger", 
        "givenName": "M. R.", 
        "id": "sg:person.016564503771.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016564503771.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Virginia Tech", 
          "id": "https://www.grid.ac/institutes/grid.438526.e", 
          "name": [
            "Virginia Tech, Eastern Shore Agricultural Research and Extension Center, 23420, Painter, VA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sterrett", 
        "givenName": "S. B.", 
        "id": "sg:person.014314021341.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014314021341.04"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0308-8146(03)00087-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000015214"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0308-8146(03)00087-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000015214"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0167-8809(97)00102-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002343633"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0899-9007(00)00266-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012856414"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.nu.06.070186.000305", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017703327"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/archinte.1963.03620280007003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019110523"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biocel.2009.11.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022993759"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02852157", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023647916", 
          "https://doi.org/10.1007/bf02852157"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02852157", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023647916", 
          "https://doi.org/10.1007/bf02852157"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/10408390500466174", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027045469"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jsfa.2765", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027264038"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.pbi.2008.01.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028783735"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0305-4179(95)00031-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029408926"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1004504726214", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029614270", 
          "https://doi.org/10.1023/a:1004504726214"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12230-010-9145-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029949944", 
          "https://doi.org/10.1007/s12230-010-9145-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12230-010-9145-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029949944", 
          "https://doi.org/10.1007/s12230-010-9145-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1020668100330", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033372029", 
          "https://doi.org/10.1023/a:1020668100330"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/07352689109382313", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033477808"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jcs.2007.06.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036174743"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.1997.03540360041028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040027025"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ejcn.2008.9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041131218", 
          "https://doi.org/10.1038/ejcn.2008.9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0378-4290(98)00133-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049742103"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12230-011-9188-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051037289", 
          "https://doi.org/10.1007/s12230-011-9188-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mam.2005.07.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052307854"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mam.2005.07.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052307854"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jf062740i", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055905949"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jf062740i", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055905949"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/156482650002100409", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064066852"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/156482650002100409", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064066852"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/156482650002100410", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064066853"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/156482650002100410", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064066853"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2135/cropsci1985.0011183x002500010046x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069020375"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2135/cropsci2004.2019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069028970"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2135/cropsci2005.06-0093", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069029510"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jn/130.5.1350s", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074636614"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jn/132.3.491s", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1075009351"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jn/132.3.495s", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1075009352"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jn/136.4.1064", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077206026"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0272-2712(18)30143-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083375881"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/oxfordjournals.jhered.a110889", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083620332"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2012-06", 
    "datePublishedReg": "2012-06-01", 
    "description": "Micronutrients are crucial to healthy growth and development, yet a large proportion of the world\u2019s population suffers from micronutrient deficiencies. Biofortification of staple foods has tremendous potential to alleviate these deficiencies. Potato production in developing countries is increasing rapidly, and therefore, biofortification of potatoes for essential micronutrients may be feasible. The purpose of this study was to determine the amount of genetic variation for micronutrient content in potato germplasm. Eighteen potato clones, consisting of \u2018Atlantic\u2019 and 17 4x-2x hybrids between S. tuberosum and diploid hybrids of S. phureja-S. stenotomum, were grown in three locations (NC, VA, NJ) 2 years (2001, 2002). Samples of tuber tissue were analyzed for copper (Cu), iron (Fe), manganese (Mn) and zinc (Zn). There were significant differences among clones for Cu, Fe, Mn and Zn. Clone x environment interactions were significant for Cu and Zn. Broad-sense heritability and its 95 % confidence interval for Cu was 0.65 (0.50\u20130.89); Fe was 0.49 (0.27\u20130.84); Mn was 0.84 (0.82\u20130.96); and Zn was 0.82 (0.73\u20130.94). Genetic variation for these four micronutrients is large, suggesting that the micronutrient content of potatoes can be improved through breeding.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s12230-012-9242-7", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1026092", 
        "issn": [
          "1099-209X", 
          "1874-9380"
        ], 
        "name": "American Journal of Potato Research", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "89"
      }
    ], 
    "name": "Genetic Variation for Potato Tuber Micronutrient Content and Implications for Biofortification of Potatoes to Reduce Micronutrient Malnutrition", 
    "pagination": "192-198", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "d23758edaec2674bfbedf3102e1c0efe26f57a4b95ac2fffcefcabc3ca08c3cd"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s12230-012-9242-7"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1044132133"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s12230-012-9242-7", 
      "https://app.dimensions.ai/details/publication/pub.1044132133"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T19:11", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8678_00000524.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs12230-012-9242-7"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s12230-012-9242-7'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s12230-012-9242-7'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12230-012-9242-7'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12230-012-9242-7'


 

This table displays all metadata directly associated to this object as RDF triples.

203 TRIPLES      21 PREDICATES      60 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s12230-012-9242-7 schema:about anzsrc-for:06
2 anzsrc-for:0604
3 schema:author N806358c55e3b499a97c988e52a2fce63
4 schema:citation sg:pub.10.1007/bf02852157
5 sg:pub.10.1007/s12230-010-9145-4
6 sg:pub.10.1007/s12230-011-9188-1
7 sg:pub.10.1023/a:1004504726214
8 sg:pub.10.1023/a:1020668100330
9 sg:pub.10.1038/ejcn.2008.9
10 https://doi.org/10.1001/archinte.1963.03620280007003
11 https://doi.org/10.1001/jama.1997.03540360041028
12 https://doi.org/10.1002/jsfa.2765
13 https://doi.org/10.1016/0305-4179(95)00031-6
14 https://doi.org/10.1016/j.biocel.2009.11.007
15 https://doi.org/10.1016/j.jcs.2007.06.005
16 https://doi.org/10.1016/j.mam.2005.07.007
17 https://doi.org/10.1016/j.pbi.2008.01.007
18 https://doi.org/10.1016/s0167-8809(97)00102-3
19 https://doi.org/10.1016/s0272-2712(18)30143-4
20 https://doi.org/10.1016/s0308-8146(03)00087-6
21 https://doi.org/10.1016/s0378-4290(98)00133-6
22 https://doi.org/10.1016/s0899-9007(00)00266-5
23 https://doi.org/10.1021/jf062740i
24 https://doi.org/10.1080/07352689109382313
25 https://doi.org/10.1080/10408390500466174
26 https://doi.org/10.1093/jn/130.5.1350s
27 https://doi.org/10.1093/jn/132.3.491s
28 https://doi.org/10.1093/jn/132.3.495s
29 https://doi.org/10.1093/jn/136.4.1064
30 https://doi.org/10.1093/oxfordjournals.jhered.a110889
31 https://doi.org/10.1146/annurev.nu.06.070186.000305
32 https://doi.org/10.1177/156482650002100409
33 https://doi.org/10.1177/156482650002100410
34 https://doi.org/10.2135/cropsci1985.0011183x002500010046x
35 https://doi.org/10.2135/cropsci2004.2019
36 https://doi.org/10.2135/cropsci2005.06-0093
37 schema:datePublished 2012-06
38 schema:datePublishedReg 2012-06-01
39 schema:description Micronutrients are crucial to healthy growth and development, yet a large proportion of the world’s population suffers from micronutrient deficiencies. Biofortification of staple foods has tremendous potential to alleviate these deficiencies. Potato production in developing countries is increasing rapidly, and therefore, biofortification of potatoes for essential micronutrients may be feasible. The purpose of this study was to determine the amount of genetic variation for micronutrient content in potato germplasm. Eighteen potato clones, consisting of ‘Atlantic’ and 17 4x-2x hybrids between S. tuberosum and diploid hybrids of S. phureja-S. stenotomum, were grown in three locations (NC, VA, NJ) 2 years (2001, 2002). Samples of tuber tissue were analyzed for copper (Cu), iron (Fe), manganese (Mn) and zinc (Zn). There were significant differences among clones for Cu, Fe, Mn and Zn. Clone x environment interactions were significant for Cu and Zn. Broad-sense heritability and its 95 % confidence interval for Cu was 0.65 (0.50–0.89); Fe was 0.49 (0.27–0.84); Mn was 0.84 (0.82–0.96); and Zn was 0.82 (0.73–0.94). Genetic variation for these four micronutrients is large, suggesting that the micronutrient content of potatoes can be improved through breeding.
40 schema:genre research_article
41 schema:inLanguage en
42 schema:isAccessibleForFree false
43 schema:isPartOf Ne0de63a9aa3b426584ae577d3be09d7a
44 Nf51f079a3a9c4d30aaee8e4af325e9b6
45 sg:journal.1026092
46 schema:name Genetic Variation for Potato Tuber Micronutrient Content and Implications for Biofortification of Potatoes to Reduce Micronutrient Malnutrition
47 schema:pagination 192-198
48 schema:productId N00e7642666f846df9b0b413b07a424e0
49 N41e47810d0e54f499be3b92fe1b910c4
50 N4fa0d56e70ab4839aba2449de092be5a
51 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044132133
52 https://doi.org/10.1007/s12230-012-9242-7
53 schema:sdDatePublished 2019-04-10T19:11
54 schema:sdLicense https://scigraph.springernature.com/explorer/license/
55 schema:sdPublisher N199ba6e171f941d78ef6390e675ab8c5
56 schema:url http://link.springer.com/10.1007%2Fs12230-012-9242-7
57 sgo:license sg:explorer/license/
58 sgo:sdDataset articles
59 rdf:type schema:ScholarlyArticle
60 N00e7642666f846df9b0b413b07a424e0 schema:name readcube_id
61 schema:value d23758edaec2674bfbedf3102e1c0efe26f57a4b95ac2fffcefcabc3ca08c3cd
62 rdf:type schema:PropertyValue
63 N199ba6e171f941d78ef6390e675ab8c5 schema:name Springer Nature - SN SciGraph project
64 rdf:type schema:Organization
65 N388b5389ec17465f8711883f2864bae1 rdf:first sg:person.01054447112.47
66 rdf:rest N764eb6e86cc349cba38541523e3398bf
67 N41e47810d0e54f499be3b92fe1b910c4 schema:name dimensions_id
68 schema:value pub.1044132133
69 rdf:type schema:PropertyValue
70 N4fa0d56e70ab4839aba2449de092be5a schema:name doi
71 schema:value 10.1007/s12230-012-9242-7
72 rdf:type schema:PropertyValue
73 N764eb6e86cc349cba38541523e3398bf rdf:first sg:person.016564503771.40
74 rdf:rest Nae3f3384542e47249233af87dc37b302
75 N806358c55e3b499a97c988e52a2fce63 rdf:first sg:person.012655447505.61
76 rdf:rest Ne91aa8efe30f453ca72e4ce220cfdf9e
77 Nae3f3384542e47249233af87dc37b302 rdf:first sg:person.014314021341.04
78 rdf:rest rdf:nil
79 Ne0de63a9aa3b426584ae577d3be09d7a schema:issueNumber 3
80 rdf:type schema:PublicationIssue
81 Ne91aa8efe30f453ca72e4ce220cfdf9e rdf:first sg:person.01012302426.50
82 rdf:rest N388b5389ec17465f8711883f2864bae1
83 Nf51f079a3a9c4d30aaee8e4af325e9b6 schema:volumeNumber 89
84 rdf:type schema:PublicationVolume
85 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
86 schema:name Biological Sciences
87 rdf:type schema:DefinedTerm
88 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
89 schema:name Genetics
90 rdf:type schema:DefinedTerm
91 sg:journal.1026092 schema:issn 1099-209X
92 1874-9380
93 schema:name American Journal of Potato Research
94 rdf:type schema:Periodical
95 sg:person.01012302426.50 schema:affiliation https://www.grid.ac/institutes/grid.40803.3f
96 schema:familyName Yencho
97 schema:givenName G. C.
98 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01012302426.50
99 rdf:type schema:Person
100 sg:person.01054447112.47 schema:affiliation https://www.grid.ac/institutes/grid.40803.3f
101 schema:familyName Clough
102 schema:givenName M. E.
103 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01054447112.47
104 rdf:type schema:Person
105 sg:person.012655447505.61 schema:affiliation https://www.grid.ac/institutes/grid.463419.d
106 schema:familyName Haynes
107 schema:givenName K. G.
108 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012655447505.61
109 rdf:type schema:Person
110 sg:person.014314021341.04 schema:affiliation https://www.grid.ac/institutes/grid.438526.e
111 schema:familyName Sterrett
112 schema:givenName S. B.
113 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014314021341.04
114 rdf:type schema:Person
115 sg:person.016564503771.40 schema:affiliation https://www.grid.ac/institutes/grid.430387.b
116 schema:familyName Henninger
117 schema:givenName M. R.
118 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016564503771.40
119 rdf:type schema:Person
120 sg:pub.10.1007/bf02852157 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023647916
121 https://doi.org/10.1007/bf02852157
122 rdf:type schema:CreativeWork
123 sg:pub.10.1007/s12230-010-9145-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029949944
124 https://doi.org/10.1007/s12230-010-9145-4
125 rdf:type schema:CreativeWork
126 sg:pub.10.1007/s12230-011-9188-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051037289
127 https://doi.org/10.1007/s12230-011-9188-1
128 rdf:type schema:CreativeWork
129 sg:pub.10.1023/a:1004504726214 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029614270
130 https://doi.org/10.1023/a:1004504726214
131 rdf:type schema:CreativeWork
132 sg:pub.10.1023/a:1020668100330 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033372029
133 https://doi.org/10.1023/a:1020668100330
134 rdf:type schema:CreativeWork
135 sg:pub.10.1038/ejcn.2008.9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041131218
136 https://doi.org/10.1038/ejcn.2008.9
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1001/archinte.1963.03620280007003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019110523
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1001/jama.1997.03540360041028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040027025
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1002/jsfa.2765 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027264038
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1016/0305-4179(95)00031-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029408926
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1016/j.biocel.2009.11.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022993759
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1016/j.jcs.2007.06.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036174743
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1016/j.mam.2005.07.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052307854
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1016/j.pbi.2008.01.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028783735
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1016/s0167-8809(97)00102-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002343633
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1016/s0272-2712(18)30143-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083375881
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1016/s0308-8146(03)00087-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000015214
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1016/s0378-4290(98)00133-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049742103
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1016/s0899-9007(00)00266-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012856414
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1021/jf062740i schema:sameAs https://app.dimensions.ai/details/publication/pub.1055905949
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1080/07352689109382313 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033477808
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1080/10408390500466174 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027045469
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1093/jn/130.5.1350s schema:sameAs https://app.dimensions.ai/details/publication/pub.1074636614
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1093/jn/132.3.491s schema:sameAs https://app.dimensions.ai/details/publication/pub.1075009351
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1093/jn/132.3.495s schema:sameAs https://app.dimensions.ai/details/publication/pub.1075009352
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1093/jn/136.4.1064 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077206026
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1093/oxfordjournals.jhered.a110889 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083620332
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1146/annurev.nu.06.070186.000305 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017703327
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1177/156482650002100409 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064066852
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1177/156482650002100410 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064066853
185 rdf:type schema:CreativeWork
186 https://doi.org/10.2135/cropsci1985.0011183x002500010046x schema:sameAs https://app.dimensions.ai/details/publication/pub.1069020375
187 rdf:type schema:CreativeWork
188 https://doi.org/10.2135/cropsci2004.2019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069028970
189 rdf:type schema:CreativeWork
190 https://doi.org/10.2135/cropsci2005.06-0093 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069029510
191 rdf:type schema:CreativeWork
192 https://www.grid.ac/institutes/grid.40803.3f schema:alternateName North Carolina State University
193 schema:name North Carolina State University, 27695, Raleigh, NC, USA
194 rdf:type schema:Organization
195 https://www.grid.ac/institutes/grid.430387.b schema:alternateName Rutgers University
196 schema:name Rutgers University, 08903, New Brunswick, NJ, USA
197 rdf:type schema:Organization
198 https://www.grid.ac/institutes/grid.438526.e schema:alternateName Virginia Tech
199 schema:name Virginia Tech, Eastern Shore Agricultural Research and Extension Center, 23420, Painter, VA, USA
200 rdf:type schema:Organization
201 https://www.grid.ac/institutes/grid.463419.d schema:alternateName Agricultural Research Service
202 schema:name U.S.D.A. Agricultural Research Service, 20705, Beltsville, MD, USA
203 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...